code: def save_model(net, data_loader, description, time_spend):
      save_model.count += 1
      print("{:21s} tuned in {:8.2f}s".format(description, time_spend))
      net.export(
          "__resnet50_v2_{:02}_".format(save_model.count)
          + description.replace(" ", "_")
      )
  
file_path: mxnet/example/quantization_inc/resnet_tuning.py
imports: import logging
  import time
  import mxnet
  from mxnet.gluon.model_zoo.vision import resnet50_v2
  from mxnet.gluon.data.vision import transforms
  from mxnet.contrib.quantization import quantize_net
  import custom_strategy
  from neural_compressor.experimental import Quantization
label_desc: Use image node_id 1 for calling a global function with example usage: save_model(net, data_loader, description, time_spend) without return types